Multi-Task Learning

AAAI 2024arXiv:2308.13537

#2

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation

Liangcai Su, Junwei Pan, Ximei Wang et al.

multi-task learningrecommender systemsnegative transfershared embeddings+3

37

CVPR 2024arXiv:2403.02628

#3

Interactive Continual Learning: Fast and Slow Thinking

Biqing Qi, Xinquan Chen, Junqi Gao et al.

35

ICLR 2025arXiv:2409.07402

#4

What to align in multimodal contrastive learning?

Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia et al.

multimodal contrastive learningmultimodal self-supervised learningmultimodal representation alignmentmultimodal interactions+3

33

ICLR 2024arXiv:2309.15564

#5

Jointly Training Large Autoregressive Multimodal Models

Emanuele Aiello, Lili Yu, Yixin Nie et al.

32

ICML 2025arXiv:2502.04959

#6

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces

Daniel Marczak, Simone Magistri, Sebastian Cygert et al.

27

ECCV 2024arXiv:2407.02228

#7

MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders

Baijiong Lin, Weisen Jiang, Pengguang Chen et al.

multi-task dense predictionscene understandingmamba-based architecturelong-range dependency modeling+4

26

CVPR 2024arXiv:2403.01753

#8

Training-Free Pretrained Model Merging

Zhengqi Xu, Ke Yuan, Huiqiong Wang et al.

24

CVPR 2025arXiv:2412.19326

#9

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment

ziang yan, Zhilin Li, Yinan He et al.

multimodal large language modelsvision task alignmenttask preference optimizationdifferentiable task preferences+3

19

CVPR 2024arXiv:2312.16279

#10

Cloud-Device Collaborative Learning for Multimodal Large Language Models

Guanqun Wang, Jiaming Liu, Chenxuan Li et al.

18

AAAI 2024arXiv:2401.06595

#11

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

attributed graph clusteringself-supervised learningmulti-task learningdynamic task weighting+3

16

CVPR 2024arXiv:2403.19490

#12

Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

structural model pruningreinforcement learning agentjoint training pruningdynamic reward function+3

15

AAAI 2025arXiv:2502.18510

#13

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

Chuanguang Yang, XinQiang Yu, Han Yang et al.

12

ECCV 2024arXiv:2407.13771

#14

Training-Free Model Merging for Multi-target Domain Adaptation

Wenyi Li, Huan-ang Gao, Mingju Gao et al.

model mergingmulti-target domain adaptationscene understandingnormalization layer statistics+4

11

CVPR 2024arXiv:2406.02996

#15

Quantifying Task Priority for Multi-Task Optimization

Wooseong Jeong, Kuk-Jin Yoon

11

AAAI 2024arXiv:2402.08578

#16

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.

federated learningedge computingparameter sharingmodel pruning+4

ECCV 2024arXiv:2407.10876

#17

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Shen Jianbing, Chunliang Li, Wencheng Han et al.

vector field representationmulti-task 3d perceptionautonomous driving perception3d object detection+3

AAAI 2025arXiv:2501.06773

#18

Pareto Set Learning for Multi-Objective Reinforcement Learning

Erlong Liu, Yu-Chang Wu, Xiaobin Huang et al.

CVPR 2024arXiv:2312.00598

#19

Learning from One Continuous Video Stream

Joao Carreira, Michael King, Viorica Patraucean et al.

AAAI 2024arXiv:2312.14472

#20

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Jinmin He, Kai Li, Yifan Zang et al.

multi-task reinforcement learningdynamic depth routingparameter sharingrouting network+3

AAAI 2025arXiv:2412.15678

#21

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network

Xiang Fang, Wanlong Fang, Changshuo Wang et al.

9

NEURIPS 2025arXiv:2503.14963

#22

Continual Multimodal Contrastive Learning

Xiaohao Liu, Xiaobo Xia, See-Kiong Ng et al.

8

ICLR 2024arXiv:2312.03248

#23

Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

Haowen Wang, Tao Sun, Congyun Jin et al.

7

ICML 2025arXiv:2502.08991

#24

Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?

Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen et al.

AAAI 2025arXiv:2412.12596

#25

OpenViewer: Openness-Aware Multi-View Learning

Shide Du, Zihan Fang, Yanchao Tan et al.

multi-view learningopen-set recognitionpseudo-unknown sample generationdeep unfolding network+3

ICLR 2025arXiv:2410.14633

#26

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

vision foundation modelsmulti-task learningknowledge distillationrepresentation bias+4

ICLR 2025arXiv:2406.14022

#27

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning

Xiaolei Wang, Xinyu Tang, Junyi Li et al.

in-context learningtask recognitiontask learningpre-training dynamics+3

NEURIPS 2025arXiv:2505.23150

#28

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Michal Nauman, Marek Cygan, Carmelo Sferrazza et al.

value-based reinforcement learningmulti-task learningtemporal difference learningtask interference+4

ICLR 2025arXiv:2502.09925

#29

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types

Jiankang Chen, Tianke Zhang, Changyi Liu et al.

multimodal instruction fine-tuningvision-language modelstask diversity scalingautomated dataset generation+3

NEURIPS 2025arXiv:2409.18893

#30

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models

Yu Zhou, Xingyu Wu, Jibin Wu et al.

model mergingarchitecture space mergingreinforcement learning optimizationmulti-objective optimization+4

CVPR 2025arXiv:2504.02264

#31

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception

Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao et al.

assistive driving perceptionmultimodal learningmulti-task learningdriver behavior recognition+4

ICML 2025arXiv:2410.05026

#32

Active Fine-Tuning of Multi-Task Policies

Marco Bagatella, Jonas Hübotter, Georg Martius et al.

CVPR 2025arXiv:2410.10604

#33

Multi-modal Vision Pre-training for Medical Image Analysis

Shaohao Rui, Lingzhi Chen, Zhenyu Tang et al.

5

ICLR 2025arXiv:2302.00671

#34

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing

Grace Zhang, Ayush Jain, Injune Hwang et al.

multi-task reinforcement learningbehavioral policy sharingoff-policy data collectionq-switch mixture+3

5

CVPR 2025arXiv:2502.06029

#35

Cross-modal Multi-task Learning for Multimedia Event Extraction

Jianwei Cao, Yanli Hu, Zhen Tan et al.

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations

Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro et al.

vision transformersmulti-task learningparameter-efficient fine-tuningdiffeomorphic transformations+3

5

ICML 2025arXiv:2506.13406

#37

CALM: Consensus-Aware Localized Merging for Multi-Task Learning

Kunda Yan, Min Zhang, Sen Cui et al.

ICML 2025arXiv:2505.24378

#38

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer

Yilun Kong, Guozheng Ma, Qi Zhao et al.

ICLR 2025arXiv:2407.11249

#39

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

disentangled representationsmulti-task learningevidence accumulationcontinuous attractors+4

CVPR 2025arXiv:2411.15099

#40

Understanding Multi-Task Activities from Single-Task Videos

Yuhan Shen, Ehsan Elhamifar

Context-Aware Multimodal Pretraining

Karsten Roth, Zeynep Akata, Dima Damen et al.

multimodal representation learningcontrastive learningvision-language modelsfew-shot adaptation+2

ICCV 2025arXiv:2508.04682

#42

TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction

Zewei Zhou, Zhihao Zhao, Tianhui Cai et al.

multi-agent perceptionmulti-agent predictionmasked reconstruction learninggradient conflict suppression+3

ICML 2025arXiv:2502.14096

#43

Aligned Multi Objective Optimization

Yonathan Efroni, Ben Kretzu, Daniel Jiang et al.

3

NEURIPS 2025arXiv:2502.17821

#44

CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems

Rui Liu, Yu Shen, Peng Gao et al.

3

NEURIPS 2025arXiv:2502.06244

#45

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts

Zeman Li, Yuan Deng, Peilin Zhong et al.

3

ICLR 2024arXiv:2403.01636

#46

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Ziping Xu, Zifan Xu, Runxuan Jiang et al.

ICCV 2025arXiv:2507.07883

#47

Identifying and Mitigating Spurious Correlation in Multi-Task Learning

Junyi Chai, Shenyu Lu, Xiaoqian Wang

Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability

Unki Park, Seongmoon Jeong, Jang Youngchan et al.

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation

Hao Ban, Gokul Ram Subramani, Kaiyi Ji

ICCV 2025arXiv:2411.10503

#50

Everything is a Video: Unifying Modalities through Next-Frame Prediction

G Thomas Hudson, Dean Slack, Thomas Winterbottom et al.

NEURIPS 2025arXiv:2505.23859

#51

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration

Wenju Sun, Qingyong Li, Wen Wang et al.

model mergingfeature drift minimizationlayer-wise optimizationtask vector fusion+3

ICCV 2025arXiv:2509.01610

#52

Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression

Sha Guo, Jing Chen, Zixuan Hu et al.

Improving Large Vision and Language Models by Learning from a Panel of Peers

Jefferson Hernandez, Jing Shi, Simon Jenni et al.

vision language modelsmodel alignmentpreference learningpeer review system+4

ICCV 2025arXiv:2507.21049

#54

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning

Zedong Wang, Siyuan Li, Dan Xu

multi-task learningrepresentation-level task saliencynegative transfer mitigationtask-shift scenarios+4

CVPR 2025arXiv:2410.06664

#55

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning

Qianli Ma, Xuefei Ning, Dongrui Liu et al.

diffusion modelsmulti-task learningparameter mergingdenoising tasks+4

CVPR 2025arXiv:2501.04293

#56

TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning

Seungmin Baek, Soyul Lee, Hayeon Jo et al.

multi-task learningparameter-efficient fine-tuningtask adaptationdynamic task filter+3

AAAI 2025arXiv:2412.12092

#57

Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction

Xiaohan Qin, Xiaoxing Wang, Junchi Yan

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods

Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.

multi-task learningtask prioritizationlagrangian multiplier methodsstep-wise optimization+3

ECCV 2024arXiv:2407.13122

#59

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Peng Liao, Xilu Wang, Yaochu Jin et al.

neural architecture searchmulti-objective optimizationknowledge transfermodel efficiency+3

ICLR 2025arXiv:2503.01440

#60

Trajectory-Class-Aware Multi-Agent Reinforcement Learning

Hyungho Na, Kwanghyeon Lee, Sumin Lee et al.

multi-agent reinforcement learningtrajectory clusteringlatent space quantizationpartial observability+4

ICCV 2025arXiv:2507.21588

#61

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning

Jiong Yin, Liang Li, Jiehua Zhang et al.

audio-visual learningincremental learningprompt tuningmulti-task learning+4

NEURIPS 2025arXiv:2503.04046

#62

Continual Optimization with Symmetry Teleportation for Multi-Task Learning

Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.

ICLR 2025arXiv:2410.05454

#63

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

latent dynamics learningneural data analysismeta-learningdynamical systems+4

ICCV 2025arXiv:2211.13723

#64

Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning

Hui Miao, Yuanfang Guo, Zeming Liu et al.

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay

Zeke Xia, Ming Hu, Dengke Yan et al.

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning

Fengjiiao Gong, Angxiao Yue, Hongteng Xu

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective

Hoang Phan, Tung Lam Tran, Quyen Tran et al.

NEURIPS 2025arXiv:2505.22389

#68

AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning

Jun Gao, Qian Qiao, Tianxiang Wu et al.

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.

continual learningmodel mergingcatastrophic forgettingparameter-efficient fine-tuning+4

ICLR 2025arXiv:2503.21200

#71

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model

Xuehao Wang, Zhan ZHUANG, Feiyang YE et al.

Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer

Hai Wu, Hongwei Lin, Xusheng Guo et al.

Machine Unlearning via Task Simplex Arithmetic

Junhao Dong, Hao Zhu, Yifei Zhang et al.

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

Rong Han, Wenbing Huang, Lingxiao Luo et al.

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation

Sicong Liu, Yang Shu, Chenjuan Guo et al.

ICCV 2025arXiv:2507.07485

#76

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning

Wooseong Jeong, Kuk-Jin Yoon

multi-task learninggradient conflict resolutiontoken space manipulationtransformer adaptation+3

NEURIPS 2025arXiv:2502.11609

#77

Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings

Yanru Wu, Jianning Wang, Xiangyu Chen et al.

few-shot object detectionmulti-task learninggradient balancingknowledge distillation+3

#78

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

Zijie Zhao, Zhongyue Zhao, Kaixuan Xu et al.

Adaptive Multi-task Learning for Few-shot Object Detection

Yan Ren, Yanling Li, Wai-Kin Adams Kong

ECCV 2024

multi-domain incremental learningschrödinger bridge adaptationadapter ensemble strategycatastrophic forgetting mitigation+4

#80

Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.

NEURIPS 2025

NEURIPS 2025arXiv:2506.02935

#81

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver

yuepeng zheng, Fu Luo, Zhenkun Wang et al.

CVPR 2024arXiv:2308.07891

#82

Link-Context Learning for Multimodal LLMs

Yan Tai, Weichen Fan, Zhao Zhang et al.

multi-task bandit learningrepresentation learninglinear banditsmeta-learning+3

#83

Can One Modality Model Synergize Training of Other Modality Models?

Jae-Jun Lee, Sung Whan Yoon

Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning

Junkai Zhang, Jinmin He, Yifan Zhang et al.

Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations

Jiabin Lin, Shana Moothedath

NEURIPS 2025

AAAI 2025arXiv:2507.07592

#86

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities

Guoyan Liang, Qin Zhou, Zhe Wang et al.

ECCV 2024arXiv:2403.10252

#87

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning

Min Gao, Haifeng Zheng, Xinxin Feng et al.

Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning

Meixuan Li, Tianyu Li, Guoqing Wang et al.

ICCV 2025arXiv:2507.00868

#89

Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation

Qiang Zhang, Mengsheng Zhao, Jiawei Liu et al.

VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks

Jinseong Jang, Chunfei Ma, Byeongwon Lee

Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning

Chaoyang Li, Jianyang Qin, Jinhao Cui et al.

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?

Simon Reiß, Zdravko Marinov, Alexander Jaus et al.

ICLR 2024arXiv:2310.13550

#93

Hybrid Sharing for Multi-Label Image Classification

Zihao Yin, Chen Gan, Kelei He et al.

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

Ruiquan Huang, Yuan Cheng, Jing Yang et al.

ICML 2024arXiv:2402.15638

#95

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution

Shanqi Liu, Dong Xing, Pengjie Gu et al.

Fair Resource Allocation in Multi-Task Learning

Hao Ban, Kaiyi Ji

multi-task learningconflicting gradientsgradient manipulation methodsfair resource allocation+4

ICLR 2024arXiv:2311.11385

#97

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Ahmed Hendawy, Jan Peters, Carlo D'Eramo

#98

Class Incremental Learning with Multi-Teacher Distillation

Haitao Wen, Lili Pan, Yu Dai et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning

Ahmed Agiza, Marina Neseem, Sherief Reda

CVPR 2024